Validation of putative reference genes for gene expression studies in human hepatocellular carcinoma using real-time quantitative RT-PCR

被引:107
作者
Cicinnati, Vito R. [1 ,2 ]
Shen, Qingli [1 ]
Sotiropoulos, Georgios C. [2 ]
Radtke, Arnold [2 ]
Gerken, Guido [1 ]
Beckebaum, Susanne [1 ,2 ]
机构
[1] Univ Duisburg Essen, Univ Hosp Essen, Dept Gastroenterol & Hepatol, Essen, Germany
[2] Univ Duisburg Essen, Univ Hosp Essen, Dept Gen Visceral & Transplantat Surg, Essen, Germany
关键词
D O I
10.1186/1471-2407-8-350
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Reference genes, which are often referred to as housekeeping genes are frequently used to normalize mRNA levels between different samples in quantitative reverse transcription polymerase chain reaction (qRT-PCR). The selection of reference genes is critical for gene expression studies because the expression of these genes may vary among tissues or cells and may change under certain circumstances. Here, a systematic evaluation of six putative reference genes for gene expression studies in human hepatocellular carcinoma (HCC) is presented. Methods: Six genes, beta-2-microglobulin (B2M), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), hydroxymethyl-bilane synthase (HMBS), hypoxanthine phosphoribosyl-transferase 1 (HPRT1), succinate dehydrogenase complex, subunit A (SDHA) and ubiquitin C (UBC), with distinct functional characteristics and expression patterns were evaluated by qRT-PCR. Inhibitory substances in RNA samples were quantitatively assessed and controlled using an external RNA control. The stability of selected reference genes was analyzed using both geNorm and NormFinder software. Results: HMBS and GAPDH were identified as the optimal reference genes for normalizing gene expression data between paired tumoral and adjacent non-tumoral tissues derived from patients with HCC. HMBS, GAPDH and UBC were identified to be suitable for the normalization of gene expression data among tumor tissues; whereas the combination of HMBS, B2M, SDHA and GAPDH was suitable for normalizing gene expression data among five liver cancer cell lines, namely Hep3B, HepG2, HuH7, SK-HEP-1 and SNU-182. The determined gene stability was increased after exclusion of RNA samples containing relatively higher inhibitory substances. Conclusion: Of six genes studied, HMBS was found to be the single best reference gene for gene expression studies in HCC. The appropriate choice of combination of more than one reference gene to improve qRT-PCR accuracy depends on the kind of liver tissues or cells under investigation. Quantitative assessment and control of qRT-PCR inhibitors using an external RNA control can reduce the variation of qRT-PCR assay and facilitate the evaluation of gene stability. Our results may facilitate the choice of reference genes for expression studies in HCC.
引用
收藏
页数:12
相关论文
共 35 条
[1]   Normalization of real-time quantitative reverse transcription-PCR data: A model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets [J].
Andersen, CL ;
Jensen, JL ;
Orntoft, TF .
CANCER RESEARCH, 2004, 64 (15) :5245-5250
[2]  
AREZI B, 2007, STRATEGIES, V19, P52
[3]   Toxicological housekeeping genes: Do they really keep the house? [J].
Arukwe, Augustine .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2006, 40 (24) :7944-7949
[4]  
Bessetti J, 2007, PROFILES DNA, V28, P159, DOI DOI 10.1161/STROKEAHA.109.559013
[5]   MDR1 (MULTIDRUG-RESISTANCE) GENE-EXPRESSION IN HUMAN PRIMARY LIVER-CANCER AND CIRRHOSIS [J].
CHENIVESSE, X ;
FRANCO, D ;
BRECHOT, C .
JOURNAL OF HEPATOLOGY, 1993, 18 (02) :168-172
[6]   Integrative analysis of multiple gene expression profiles applied to liver cancer study [J].
Choi, JK ;
Choi, JY ;
Kim, DG ;
Choi, DW ;
Kim, BY ;
Lee, KH ;
Yeom, YI ;
Yoo, HS ;
Yoo, OJ ;
Kim, S .
FEBS LETTERS, 2004, 565 (1-3) :93-100
[7]   Validation of housekeeping genes for normalizing RNA expression in real-time PCR [J].
Dheda, K ;
Huggett, JF ;
Bustin, SA ;
Johnson, MA ;
Rook, G ;
Zumla, A .
BIOTECHNIQUES, 2004, 37 (01) :112-+
[8]   The implications of using an inappropriate reference gene for real-time reverse transcription PCR data normalization [J].
Dheda, K ;
Huggett, JF ;
Chang, JS ;
Kim, LU ;
Bustin, SA ;
Johnson, MA ;
Rook, GAW ;
Zumla, A .
ANALYTICAL BIOCHEMISTRY, 2005, 344 (01) :141-143
[9]   Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling [J].
Fang, H ;
Tong, W ;
Perkins, R ;
Shi, L ;
Hong, H ;
Cao, X ;
Xie, Q ;
Yim, SH ;
Ward, JM ;
Pitot, HC ;
Dragan, YP .
BMC BIOINFORMATICS, 2005, 6 (Suppl 2)
[10]  
Fleige Simone, 2006, Molecular Aspects of Medicine, V27, P126, DOI 10.1016/j.mam.2005.12.003